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污水中诺如病毒的检出情况——系统文献综述和荟萃分析。

Occurrence of norovirus in raw sewage - A systematic literature review and meta-analysis.

机构信息

ICF, LLC, 9300 Lee Highway, Fairfax, VA, 22031, USA.

ICF, LLC, 9300 Lee Highway, Fairfax, VA, 22031, USA.

出版信息

Water Res. 2017 Mar 15;111:366-374. doi: 10.1016/j.watres.2017.01.017. Epub 2017 Jan 9.

DOI:10.1016/j.watres.2017.01.017
PMID:28110140
Abstract

Human noroviruses (NoV) are a leading cause of recreational waterborne illnesses and responsible for the majority of viral-associated gastrointestinal illnesses nationwide. We conducted a systematic literature review of published peer-reviewed publications to identify NoV density data in wastewater influent, and provided an approach for developing pathogen density distributions, using the NoV data. Literature review inclusion criteria included scope, study quality, and data availability. A non-parametric bootstrap statistical model was used to estimate the NoV distribution in wastewater influent. The approach used accounts for heterogeneity in study-specific distribution curves, sampling locations, and sampling season and provides a comprehensive representation of the data. Study results illustrate that pooling all of the available NoV data together in a meta-analysis provides a more comprehensive understanding of the technical literature than what could be appreciated from individual studies. The studies included in this analysis indicate a high density of NoV in wastewater influent (overall mean = 4.6 log genome copies (GC)/liter (L)), with a higher density of NoV genogroup (G) II (overall mean = 4.9 log GC/L) than for GI (overall mean = 4.4 log GC/L for GI). The bootstrapping approach was also used to account for differences in seasonal and geographical occurrences of NoV GI and GII. The methods presented are reproducible and can be used to develop QMRA-ready density distributions for other viral pathogens in wastewater influent, effluent, and ambient waters. To our knowledge, our results are the first to quantitatively characterize seasonal and geographic differences, which could be particularly useful for future risk assessments.

摘要

人类诺如病毒(NoV)是导致娱乐性水传播疾病的主要原因,也是全美大多数与病毒相关的胃肠道疾病的罪魁祸首。我们对已发表的同行评议文献进行了系统的文献综述,以确定污水进水口的 NoV 密度数据,并提供了一种使用 NoV 数据开发病原体密度分布的方法。文献综述的纳入标准包括范围、研究质量和数据可用性。非参数自举统计模型用于估计污水进水口的 NoV 分布。该方法考虑了研究特定分布曲线、采样地点和采样季节的异质性,并提供了数据的全面表示。研究结果表明,将所有可用的 NoV 数据汇总在荟萃分析中,比从单个研究中获得的理解更全面地了解技术文献。本分析中包含的研究表明,污水进水口的 NoV 密度很高(总体平均值为 4.6 log 基因组拷贝(GC)/升(L)),NoV 基因型(G)II 的密度高于 GI(GI 的总体平均值为 4.4 log GC/L)。自举方法还用于解释 NoV GI 和 GII 在季节性和地理上出现的差异。提出的方法具有可重复性,可用于开发污水进水口、出水口和环境水中其他病毒病原体的 QMRA 就绪密度分布。据我们所知,我们的结果首次定量描述了季节性和地理差异,这对于未来的风险评估可能特别有用。

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